Principles of Nonparametric Learning (2002) (CISM International Centre for Mechanical Sciences #434)

By:

Sign Up Now! Already a Member? Log In
You must be logged into UK education collection to access this title. Learn about membership options, or view our freely available titles.

Synopsis
This volume provides a systematic in-depth analysis of nonparametric learning. It covers the theoretical limits and the asymptotical optimal algorithms and estimates, such as pattern recognition, nonparametric regression estimation, universal prediction, vector quantization, distribution and density estimation, and genetic programming.
Copyright:
2002

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9783709125687
Related ISBNs:
9783211836880
Publisher:
Springer Vienna
Date of Addition:
Copyrighted By:
N/A
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet, Technology, Mathematics and Statistics
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.
Edited by:
Laszlo Györfi

Reviews

No Rating Yet